haojin2 edited a comment on issue #17255: [DO NOT REVIEW]Set np default dtype( float32 <-> float64) URL: https://github.com/apache/incubator-mxnet/pull/17255#issuecomment-572472159 @marcoabreu Let's probably take a look at this example to help you understand: ```python import numpy as np a = np.ones((4096, 1024)) / 1000000 # original code, a is of type float64 ``` ```python from mxnet import np, npx npx.set_np() # transitioning to NP on MXNet, swapping the library a = np.ones((4096, 1024)) / 1000000 # a is of type float32, which might not be able to accurately represent very small numbers, # could possibly cause some precision errors in later computations a = np.ones((4096, 1024), dtype=np.float64) / 1000000 # to recover the same precision, need to touch the original code to explicitly specify the dtype, # number of lines changed is the same as number of array creation functions used with in the whole file. ``` ```python from mxnet import np, npx npx.set_np() # transitioning to NP on MXNet, swapping the library npx.set_np_default_type() # switch the default type, this function call could be further merged to be part of set_np function # to even avoid this extra line a = np.ones((4096, 1024)) / 1000000 # now a is of type float64, not interfering with the original assumption of precisions without any changes to the original code. # only one more line is added, not the same as the total # of array creations in the script. ```
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